diana-hep / carl
Likelihood-free inference toolbox.
☆57Updated 7 years ago
Alternatives and similar repositories for carl:
Users that are interested in carl are comparing it to the libraries listed below
- Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"☆45Updated 5 years ago
- A probabilistic programming framework based on TensorFlow☆87Updated 5 years ago
- Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…☆33Updated 5 years ago
- active learning + reusable workflows + likelihood free inference☆59Updated 7 years ago
- Versatile, high-performance histogram toolkit for Numpy.☆109Updated 6 years ago
- ☆10Updated 9 years ago
- Main repository for image generation and CNN training https://arxiv.org/abs/1609.00607☆22Updated 4 years ago
- Decorator for PyMC3☆50Updated 3 years ago
- Python library for optimizing noisy functions.☆87Updated 2 years ago
- An MCMC algorithm for sampling continuous probability distributions in parallel☆19Updated 9 years ago
- Scalable 1D Gaussian Processes in C++, Python, and Julia☆183Updated 3 weeks ago
- Probabilistic programming in Python workshop at Oslo universitetssykehus HF☆36Updated 8 years ago
- Bayesian dessert for Lasagne☆84Updated 7 years ago
- Excursion Set Estimation☆22Updated 3 years ago
- A Python package for Approximate Bayesian Computation☆36Updated 8 years ago
- Approximate Bayesian Computation Population Monte Carlo☆40Updated 4 years ago
- Random fiddling stored in notebooks☆22Updated 7 years ago
- Package template for a project using Cython☆58Updated 8 years ago
- AlgoPy is a Research Prototype for Algorithmic Differentation in Python☆81Updated 6 months ago
- MLHEP 2015 materials (http://hse.ru/mlhep2015)☆19Updated 9 years ago
- Machine Learning in High Energy Physics 2016☆76Updated 5 years ago
- A non-traditional TensorFlow tutorial☆49Updated 4 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 6 years ago
- Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.☆75Updated last year
- Particle Gibbs for Bayesian Additive Regression Trees☆33Updated 9 years ago
- Automatic differentiation + optimization☆104Updated 5 years ago
- Experimental code for porting PyMC to alternative backends☆26Updated 6 years ago
- Plugin for MadGraph5_aMC allowing for output Matrix Elements in a TensorFlow-friendly format☆10Updated 5 years ago
- Code for AutoGP☆26Updated 5 years ago
- Automatic differentiation for NumPy☆99Updated 9 years ago